Sakana’s AI CUDA Engineer Delivers Up to 100x Speed Gains Over PyTorch
20/02/2025
11:24 am
The AI CUDA Engineer has successfully translated more than 230 out of 250 evaluated PyTorch operations.
Stay updated on the latest PyTorch developments, releases, and innovations. This page covers breaking news, feature updates, community highlights, and industry applications of PyTorch. From version releases to ecosystem expansions, discover how this open-source machine learning framework is shaping the future of AI. Get insights on performance improvements, new tools, and real-world implementations across various domains.
The AI CUDA Engineer has successfully translated more than 230 out of 250 evaluated PyTorch operations.
Conda hasn’t gathered enough widespread acclaim to make its use seem inevitable.
Adds Intel ARC dGPU and Core Ultra iGPU support for Linux and Windows, bringing broader compatibility and performance optimisation to Intel GPUs in AI workloads.
Torchao’s quantization algorithms, applicable to popular models like Llama 3 and diffusion models, have demonstrated up to 97% speedup in inference.
“It just predicts the next token” is a thought-terminating cliche.
PyTorch is the most used machine learning framework among research teams, with 64% of machine learning research papers that publish code using PyTorch.
The update boosts performance for small batch size inference, achieving up to 1.94 times faster speeds compared to the original
The new release has added features to meet the needs of the AI and machine learning community.
Users can easily add customisations and optimizations to adapt models to specific use cases, including memory-efficient recipes that work on machines with single 24GB gaming GPUs.
PyTorch Tabular 1.1.0 introduces the DANet Model, Captum for explainability, enhanced tuning, and a new Model Sweep feature for efficient performance evaluation.
ExecuTorch is a practical choice for broad model compatibility or Android device support
PyTorch 2.1 released a host of updates and improved their library. They also added support for training and inference of Llama 2 models powered by AWS Inferentia.
Java has flexible capabilities, vast libraries, and with endorsements from major tech companies the language is gaining traction in Machine learning.
Python still remains a dominant force in AI development, with more than 275,495 companies using it.
Google was leading with TensorFlow, but Meta’s PyTorch won hearts with the ease of use, and things have stayed that way
The library now includes a new method in TabularModel for enabling feature importance
Developers reacted to the release stating, “Rust is eating Python like it did JavaScript.”
A rise in AI Intelligent Agents is pushing the boundaries of ChatGPT, probably paving the way for AGI
The push is completely towards making it more “Pythonic”.
Although written in Rust, Ruff can be installed through pip, like other command-line tools.
From data visualisation to deep learning libraries, Python is the most valuable language for machine learning.
The foundation would be under the watchful eye of a diverse group of board members from leading organisations like AMD, AWS, Google Cloud, and NVIDIA, among others
PyTorch Lightning enables the usage of multiple GPUs to accelerate the training process. It uses various stratergies accordingly to accelerate training process.
To use BetterTransformer, install PyTorch 1.12 and start using high-quality, high-performance Transformer models with the PyTorch API today.
Torcharrow is a Pytorch preprocessing library for data processing and visualization with various aspects of data processing.
The new release contains 3124 commits and is developed with the help of 433 contributors.
Intel® Extension for PyTorch* optimises for both imperative mode and graph mode.
The workshop covered extensively the oneAPI AI Analytics toolkit, which contained a core set of tools and libraries for developing high-performance applications on Intel® CPUs, GPUs, and FPGAs.
GPT Neo is an open-source alternative to GPT 3. It is an open-source model trained like GPT 3, an autoregressive transformer using the mesh library.
A look at some of the major highlights from the oneAPI AI Analytics Toolkit Workshop by Intel® and Analytics India Magazine.
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